Since the 2016 presidential election, Clinton and Trump have been using emotionally appealing messages to rally support via every channel. To understand what people feel and how they feel, this paper will analyze emotional reactions from comments on Trump’s inauguration speech, the executive order on immigration policy, and the joint address to Congress. The goal is to find out how people feel compared to their expectations within the first 100 days of the Trump administration. Big data analysis and emotion analysis will be conducted on the most recent 3,000 comments for each video. Each comment will be labeled from the following five categories: anger, disgust, fear, joy, and sadness through IBM bluemix platform. Then the result will be shown in data visualization format (word cloud, network analysis, pie charts, etc.) for a conclusion. The research will also cross reference to policies related to the three videos and executive orders Trump signed from January 20, 2017, to April 29. The final report presents a holistic picture of actions to words, from emotions to policy making, and from provocative issues to a forecast.